Two collocated AQY-R air quality monitoring sensors were installed at a monitoring site in East Hartford, Connecticut to evaluate its performance tracking gas, particulate and meteorology data over a year long time frame. Hourly data for O3, NO2, PM2.5, PM10, temperature and relative humidity were compared to reference monitors located at the same site. The full downloadable dataset used is located here Download CSV.

Sensor Details

AQY-R Specifications

Possible Configuration Evaluated Configuration Cost Data Access Power Supply Considerations Reference Monitors Compared
Particulates: PM2.5, PM10
Gases: NO2, O3
Meteorology: Temp, RH, Dew Point 		Particulates: PM2.5, PM10
Gases: O3, NO2
Meteorology: Temp, RH, Dew Point 		Sensor: $4100
Power Supply: $96
Dashboard & Data Storage: $660 per year & sensor
MOMA Calibration Service: $1360 per year & sensor 		Data downloads from dashboard, API Access, Communications over WiFi or Cellular (cellular plan purchase required) AC Power (power supply sold separately), Solar option currently not available Time Resolution: 1 minute to 24 hour averaging time
Dimensions: 350H x 225W x 265D mm
Weight: 5 kg 		O3: Teledyne N400
NO2: Teledyne T500U
PM2.5 & PM10: Teledyne API T640X
Temp & RH: Climatronix & Vaisala via AutoMet 580

Setup

Methods

Two Aeroqual AQY-R sensors were installed at CT DEEP’s McAuliffe Park Ambient Air Monitoring Station for collocation. The AQY-R units were powered off station power, and data were transmitted to the Aeroqual dashboard over WiFi connection. CT DEEP accessed data through an API feed. Minute-averaged data were averaged into hour-intervals for comparison with regulatory O3, NO2, PM2.5, PM10, and meteorological instrumentation. Aeroqual’s MOMA (MoMent Matching) virtual calibration package was purchased for both sensors. Calibration factors specific to each gaseous pollutant and particulate matter are assessed and applied at the beginning of each calendar month (more information on MOMA available here) . Pre-calibrated data were included in timeseries plots and excluded from regression analysis to represent “best-case” sensor performance.

Timeseries Comparison

Aeroqual AQY-R hourly data for O3, NO2, PM2.5, PM10, temperature and relative humidity were compared by quarter to reference values (Q1: January-March, Q2: April-June, Q3: July-September, Q4: October-December).

O3

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

NO2

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 2 (2024)

PM2.5

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

PM10

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

Temperature

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

Relative Humidity

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

Dew Point

Quarter 2 (2024)

Quarter 3 (2024)

Quarter 4 (2024)

Correlation Comparison

AQY-R 0285 and Reference Correlation

O3

NO2 (Pre-Calibration)

NO2

PM2.5

PM10

Temperature

Relative Humidity

Dew Point

AQY-R 0286 and Reference Correlation

O3

NO2 (Pre-Calibration)

NO2

PM2.5

PM10

Temperature

Relative Humidity

Dew Point

AQY-R 0285 and AQY-R 0286 Correlation

O3

NO2 (Pre-Calibration)

NO2

PM2.5

PM10

Temperature

Relative Humidity

Dew Point

Results Summary